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Paper Abstract and Keywords
Presentation 2025-12-05 13:10
A Study on Comprehensive Metrics for Evaluating Whole-Body Bone Metastasis Segmentation
Kotaro Horita, Chika Sugimoto (YNU) MICT2025-43 MI2025-51
Abstract (in Japanese) (See Japanese page) 
(in English) AI models for whole-body bone metastasis segmentation from CT images play a critical role in diagnostic support. However, model evaluation using conventional metrics such as the F1-score fails to adequately assess clinically important aspects regarding lesion geometry and detection performance. In this study, to measure the clinical utility of models, we introduce a comprehensive evaluation method that combines shape accuracy (ASSD, 95%HD), volume accuracy (RVD), qualitative error maps, and stratified analysis by lesion type and anatomical site. We applied this comprehensive evaluation method to evaluate the performance of a high-precision model (F1-score 0.931) constructed by the authors. As a result, it was suggested that the comprehensive evaluation method can clearly demonstrate the clinical risks associated with the model’s output, which are often obscured by a single F1-score evaluation.
Keyword (in Japanese) (See Japanese page) 
(in English) Medical image analysis / Bone metastasis segmentation / Comprehensive evaluation / / / / /  
Reference Info. IEICE Tech. Rep., vol. 125, no. 269, MICT2025-43, pp. 46-49, Dec. 2025.
Paper # MICT2025-43 
Date of Issue 2025-11-27 (MICT, MI) 
ISSN Online edition: ISSN 2432-6380
Copyright
and
reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF MICT2025-43 MI2025-51

Conference Information
Committee MICT MI  
Conference Date 2025-12-04 - 2025-12-05 
Place (in Japanese) (See Japanese page) 
Place (in English) Okayama Convention Center 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Medical imaging technology, healthcare and medical information communication technology, etc. 
Paper Information
Registration To MICT 
Conference Code 2025-12-MICT-MI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Study on Comprehensive Metrics for Evaluating Whole-Body Bone Metastasis Segmentation 
Sub Title (in English)  
Keyword(1) Medical image analysis  
Keyword(2) Bone metastasis segmentation  
Keyword(3) Comprehensive evaluation  
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1st Author's Name Kotaro Horita  
1st Author's Affiliation Yokohama National University (YNU)
2nd Author's Name Chika Sugimoto  
2nd Author's Affiliation Yokohama National University (YNU)
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Speaker Author-1 
Date Time 2025-12-05 13:10:00 
Presentation Time 20 minutes 
Registration for MICT 
Paper # MICT2025-43, MI2025-51 
Volume (vol) vol.125 
Number (no) no.269(MICT), no.270(MI) 
Page pp.46-49 
#Pages 4 
Date of Issue 2025-11-27 (MICT, MI) 

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